Zhao X., Zeng W., Tang J. Entity Alignment: Concepts, Recent Advances and Novel Approaches

Springer, 2023. — 252 p. — (Big Data Management). — ISBN: 978-981-99-4249-7.This systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs and hence is of significance to downstream applications, e.g., question-answering and recommender systems. Recent years have witnessed a rapid increase in the number of entity alignment frameworks, while the relationships among them remain unclear. This book aims to fill that gap by elaborating the concept and categorization of entity alignment, reviewing recent advances in entity alignment approaches, and introducing novel scenarios and corresponding solutions. Specifically, the book includes comprehensive evaluations and detailed analyses of state-of-the-art entity alignment approaches and strives to provide a clear picture of the strengths and weaknesses of the currently available solutions, to inspire follow-up research. In addition, it identifies novel entity alignment scenarios and explores the issues of large-scale data, long-tail knowledge, scarce supervision signals, lack oflabeledd data, and multimodal knowledge, offering potential directions for future research. The book offers a valuable reference guide for junior researchers, covering the latest advances in entity alignment, and a valuable asset for senior researchers, sharing novel entity alignment scenarios and their solutions. Accordingly, it will appeal to a broad audience in the fields of knowledge bases, database management, artificial intelligence, and big data.Concept and Categorization
Introduction to Entity Alignment.
State-of-the-Art Approaches.
Recent Advances
Recent Advance of Representation Learning Stage.
Recent Advance of Alignment Inference Stage.
Novel Approaches
Large-Scale Entity Alignment.
Long-Tail Entity Alignment.
Weakly Supervised Entity Alignment.
Unsupervised Entity Alignment.
Multimodal Entity Alignment.